{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "07c80237",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "# 中文显示结果\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "15a2825b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 读取本地HTML文件\n",
    "with open('世界十大高峰.html', 'r', encoding='utf-8') as file:\n",
    "    html_content = file.read()\n",
    "\n",
    "# 解析HTML内容\n",
    "soup = BeautifulSoup(html_content, 'html.parser')\n",
    "\n",
    "# 提取表格数据\n",
    "table = soup.find('table')\n",
    "rows = table.find_all('tr')\n",
    "\n",
    "# 提取表头\n",
    "columns = [th.text.strip() for th in rows[0].find_all('th')]\n",
    "\n",
    "# 提取数据行\n",
    "data = []\n",
    "for row in rows[1:]:\n",
    "    cols = row.find_all('td')\n",
    "    cols = [col.text.strip() for col in cols]\n",
    "    data.append(cols)\n",
    "\n",
    "# 创建DataFrame\n",
    "df = pd.DataFrame(data, columns=columns)\n",
    "\n",
    "# 将高度数据转换为浮点数类型\n",
    "df['高度（米）'] = df['高度（米）'].astype(float)\n",
    "\n",
    "# 保存数据到Excel文件\n",
    "df.to_excel('_mountains.xlsx', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "73e80077",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 数据可视化分析\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.bar(df['山峰'], df['高度（米）'], color='skyblue') \n",
    "plt.xlabel('山峰')\n",
    "plt.ylabel('高度（米）')\n",
    "plt.title('世界十大高峰')\n",
    "plt.xticks(rotation=45)  # 旋转x轴标签，以避免重叠\n",
    "plt.grid(True)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eb879d7c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
